Measuring normality in HTTP traffic for anomaly-based intrusion detection
Computer Networks: The International Journal of Computer and Telecommunications Networking
Defending against an Internet-based attack on the physical world
ACM Transactions on Internet Technology (TOIT)
Detection of Web-Based Attacks through Markovian Protocol Parsing
ISCC '05 Proceedings of the 10th IEEE Symposium on Computers and Communications
FireCol: a collaborative protection network for the detection of flooding DDoS attacks
IEEE/ACM Transactions on Networking (TON)
Hi-index | 0.00 |
HTTP GET flooding attack is considered to be one of the most successful attacks of Application Layer Denial of Service (App-DoS). Detection of such attack is difficult due to its non-intrusive nature. This paper presents an effective method for detection of such App-DoS attack for three different scenarios. The proposed method was tested over three real-life data-sets, i.e. KDD99, LBNL and our own data-set, and has been found to perform satisfactorily.